Alison Singer
President
Autism Science Foundation
From this contributor
It’s time to embrace ‘profound autism’
My experience at the Autism-Europe International Congress — and as a parent of a child with profound autism — makes me more convinced than ever that we need to bifurcate the diagnosis of ‘autism spectrum disorder’ and add a new diagnosis of ‘profound autism’ to better serve this vulnerable population.
Portrayals of autism on television don’t showcase full spectrum
Television characters with autism look dramatically different from the majority of people who have the condition.
Portrayals of autism on television don’t showcase full spectrum
The case for brain donation
We can't get back the tissue lost in the Harvard freezer malfunction, but we can try to create something positive from this tragic event, says Alison Singer.
Explore more from The Transmitter
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?